IRIS-FACE FUSION AND SECURITY ANALYSIS BASED ON FISHER DISCRIMINANT

With the development of society and science technology, the information security becomes more and more important for people and nation. In this paper, we focus on the technology of iris-face fusion in multi-mode sense in order to find an algorithm to get a better recognition performance. Firstly, we introduce the feature extraction of iris and face, and fusion the features using different algorithms. By simulation, we find out the recognition performance with different fusion methods, which provide some new conclusions. In order to improve the performance of recognition system, we classify these features with fisher discriminant analysis again. Then we analyze the security of recognition system from the aspect of influence of leak in biology features. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms